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SQL Engines for Big Data Analytics

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SQL on Big Data

Architectures-Understanding how SQL engines are architected for transactional and operational systems to support transactions on Big Data platforms;

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Beginning Azure Synapse Analytics

analyze your big data using Serverless Synapse SQL Pool. You also will learn Synapse Spark and Synapse Pipelines, with examples. And you will;

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Scalable Big Data Architecture

imposed by dealing with the high throughput of Big data. Scalable Big Data Architecture is for developers, data architects, and data;

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Microsoft SQL Server 2012 with Hadoop

This book will be a step-by-step tutorial, which practically teaches working with big data on SQL Server through sample examples;

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The The Applied SQL Data Analytics Workshop

learning data analytics for beginners easy and approachable. Key Features Explore ways to use SQL for data analytics and gain key insights;

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SQL for Data Analytics

from data, this book is for you. SQL for Data Analytics helps you build the skills to move beyond basic SQL and instead learn to spot;

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Big Data Analytics

A handy reference guide for data analysts and data scientists to help to obtain value from big data analytics using Spark on Hadoop;

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Hands-On Data Science with SQL Server 2017

exploration to visualization Real-world examples, tasks, and interview queries to be a proficient data scientist Understand how SQL is used for big;

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Big Data Analytics for Internet of Things

BIG DATA ANALYTICS FOR INTERNET OF THINGS Discover the latest developments in IoT Big Data with a new resource from established and;

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Real-Time Big Data Analytics

-time data processing * Load datasets, build queries, and make recommendations using Spark SQL Who This Book Is For If you are a Big Data;

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Big Data and Visual Analytics

contribution to the area of big data and visual analytics. This book is a valuable resource for researchers and professionals working in the area;

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Open Source Data Warehouse

Structured Query Language (SQL) engines like Oracle, MS SQL Server, IBM DB2 provide data warehousing facility. However, small and medium enterprise;

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Emerging Technology and Architecture for Big-data Analytics

architectures for big-data analytics; Covers various levels of big-data analytics hardware design abstraction and flow, from device, to circuits and;

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Emerging Technology and Architecture for Big data Analytics

architectures for big-data analytics; Covers various levels of big-data analytics hardware design abstraction and flow, from device, to circuits and;

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Machine Learning and Big Data Analytics Paradigms

big data analytics, and modeling, simulation, and security with big data. It is a valuable resource for researchers in the area of big data;

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Apache Spark 2

and use-cases of Apache Spark 2.x, this Learning Path is ideal for you. Big data professionals who want to learn how to integrate and use the;

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Big Data Science & Analytics

expected to create a smarter and more efficient world for all of us to live in. This new area of technology has been defined as Big Data Science;

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Analytics for Insurance

The business guide to Big Data in insurance, with practical application insight Big Data and Analytics for Insurers is the industry;

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Big Data Analytics

algorithm Market basket analysis Anticipating consumer purchase behavior Variation in shopping patterns Big data analytics for market;

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Big Data Analytics

algorithm Market basket analysis Anticipating consumer purchase behavior Variation in shopping patterns Big data analytics for market;

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Machine Learning and Big Data Analytics (Proceedings of International Conference on Machine Learning and Big Data Analytics (ICMLBDA) 2021)

This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2021) is intended to be used as a reference book for;

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Advances in Big Data Analytics

Tools Algorithms for Big Data Big Data Management and Frameworks Big Data Search and Mining Methods Security and Privacy in the Era of Big;

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Distributed Computing in Big Data Analytics

considerations that make big data analytics possible within stipulated cost and time practical for consumption by human and machines. However, the;

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Big Data Analytics with R

meaningful results * Get a practical knowledge of R programming language while working on Big Data platforms like Hadoop, Spark, H2O and SQL/NoSQL;

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Big Data Analytics with Spark

and its add-on libraries, including Spark SQL, Spark Streaming, GraphX, and MLlib. Big Data Analytics with Spark is therefore written for busy;

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Multimodal Analytics for Next-Generation Big Data Technologies and Applications

This edited book will serve as a source of reference for technologies and applications for multimodality data analytics in big data;

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